Genetic diversity and screening for bacterial wilt in tomato (Lycopersicon esculentum)
Keywords:Bacterial wilt, genetic advance, heritability, humid tropics
Thirty-four tomato genotypes from different geographical locations were evaluated for genetic diversity and screened for bacterial wilt (BW) caused by Ralstonia solanacearum. Results revealed that plant height, fruits per cluster, fruit weight, fruit diameters, locules per fruit, fruit firmness, yield per plant, and quality parameters exhibited high heritability and genetic advance. Clustering based on D2 analysis, classified genotypes into four clusters. Maximum intra-cluster distance was recorded within cluster I and maximum inter-cluster distance between cluster II and IV followed by cluster I and IV, indicating existence of wide genetic variability. Genotypes in cluster IV (AVTO 1711, AVTO 1717 and AVTO 1718) recorded high fruit weight coupled with high yield. These may be explored as promising donors for developing large sized bacterial wilt resistant tomatoes. The large fruited genotypes in cluster IV can also contribute to the genetic improvement of existing bacterial wilt resistant varieties placed in cluster I. Out of 34 genotypes screened for BW disease, 5 genotypes were classified as resistant and 7 as moderately resistant.
Ara, A., Narayan, R., Ahmed, N. and Khan, S.H. 2009. Genetic variability and selection parameters for yield and quality attributes in tomato. Indian J. Hortic., 66(1): 73-78.
Comstock, R. E. and Robinson, H. F. 1952. Genetic parameters, their estimation and significance. Proc. 6th Int. Grassland Cong., pp. 284-291. DOI: https://doi.org/10.1525/curh.19188.8.131.521
Dharmatti P. R., Patil R. V., Revanappa and Mannikeri, I. M. 2009. High yielding bacterial wilt resistant tomato hybrids. Karnataka J. Agric. Sci., 22(1): 158-160.
Harrington, J. B. 1940. Yielding capacity of wheat crosses as indicated by bulk hybrid tests. Canadian J. Res.,18: 578-584. DOI: https://doi.org/10.1139/cjr40c-053
Johnson, H. W., Robinson, H. F. and Comstock, R. E. 1955. Estimates of genetic and environmental variability in soybean. Agron. J., 47: 314-318. DOI: https://doi.org/10.2134/agronj1955.00021962004700070009x
Mew, T. W. and Ho., W. C. 1976. Varietal resistance to bacterial wilt in tomato. Plant. Dis. Reptr., 60: 264-268.
Kumar, M., Buckseth, T., Thakur, M. S. and Thakur, K. S. 2013. Genetic divergence and cluster analysis in tomato (Solanum lycopersicum). Prog. Agric., 13(1): 114-117.
Mahalanobis P. C. 1936. On the generalized distance in statistics. Proc. National Institute of Science India, 2: 49-55.
Meena, O. P. and Bahadur, V. 2013. Assessment of breeding potential of tomato (Lycopersicon esculentum Mill.) germplasm using D2 analysis. The Bioscan, 8(4):1145-1148.
Meena, O. P. and Bahadur, V. 2015. Breeding potential of indeterminate tomato (Solanum lycopersicum L.) accessions using D2 analysis. SABRAO J. Breed. Gen., 47(1): 49-59.
Naveen, B. L., Reddy, K. R. and Saidaiah, P. 2018. Genetic divergence for yield and yield attributes in tomato (Solanum lycopersicum). Indian J. Agric. Sci., 88(7): 1018-1023. DOI: https://doi.org/10.56093/ijas.v88i7.81539
Patel, S. A., Kshirsagar, D. B., Attar, A. V. and Bhalekar, M. N. 2013. Study on genetic variability, heritability and genetic advance in tomato. Int. J. Plant Sci., 8(1): 45-47.
Rai, A. K., Vikram, A., Kumar, M., Gupta, M. and Dogra, R. K. 2017. Genetic divergence and its implication in breeding tomato (Solanum lycopersicum) suitable for mid-hills of Himachal Pradesh. Indian J. Agric. Sci., 87(5): 657-62. DOI: https://doi.org/10.56093/ijas.v87i5.70188
Spark, D. N. 1973. Euclidean cluster analysis. Algorithm AsS 58. Appl. Stat., 22: 126-130. DOI: https://doi.org/10.2307/2346321
Wang, J-F., Hanson, P. and Barnes, J.A. 1998. Worldwide evaluation of an international set of resistance sources to bacterial wilt in tomato. In: P. Prior, C. Allen and J. Elphinstone (eds.), Bacterial Wilt Disease: Molecular and DOI: https://doi.org/10.1007/978-3-662-03592-4_39
Ecological Aspects, Springer-Verlag, Berlin, pp. 269-275.
How to Cite
Copyright (c) 2023 M P ATHULYA, P Anitha, T Pradeepkumar, M Sangeeta Kutty, P Sainamole Kurian, P Sindhumole
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.